Computer Vision & Deep Learning • 2–3 Years
Computer Vision Engineer
Build real-time object detection, multi-object tracking, and RTSP video analytics pipelines using OpenCV, YOLO, and PyTorch.
Job Overview
We are looking for a Computer Vision Engineer with 2–3 years of experience to develop production visual intelligence systems for manufacturing defect inspection, warehouse dock auditing, and industrial PPE safety compliance.
About the Role
In this role, you will design and implement end-to-end computer vision pipelines that ingest live RTSP camera feeds, run custom-trained CNN and YOLO detection/tracking models, apply spatial rule logic (such as exclusion zones, line-crossing, and dwell-time calculation), and dispatch real-time telemetry alerts to backend services.
Key Responsibilities
- Develop object detection, tracking, and image recognition systems.
- Implement computer vision pipelines using OpenCV and deep learning.
- Work with real-time camera feeds and video analytics.
- Optimize models for real-world deployment.
- Integrate computer vision models with backend applications.
- Train and fine-tune custom YOLO and segmentation models on domain-specific industrial datasets.
- Handle RTSP stream reconnection, frame buffering, and multi-camera synchronization.
Educational Qualifications
- B.Tech / B.E. / M.Tech in Computer Science, Electronics & Communication, AI/ML, or equivalent industry experience.
Experience Requirements
Required Experience: 2–3 Years
- 2–3 Years of professional experience building and deploying computer vision and deep learning models.
- Proven experience working with live video streams, object detection (YOLO), and OpenCV in production scenarios.
What We Offer
- Hands-on engineering work on production enterprise software, applied AI, and edge hardware systems.
- Direct mentorship and architectural reviews from senior engineers, technical leads, and company founders.
- Collaborative, builder-first studio environment at our Sector 62, Noida, Uttar Pradesh engineering hub.
- Structured career progression path with clear module ownership and technical leadership opportunities.
- Exposure to modern production tooling including Next.js, TypeScript, Python FastAPI, PyTorch, and NVIDIA Jetson rigs.
Application Instructions
- 1Complete the online application form on this page with accurate contact and experience details.
- 2Attach your updated resume in PDF, DOC, or DOCX format (maximum file size 5 MB).
- 3Include links to your GitHub profile, live deployed projects, technical portfolio, or case studies.
- 4Ensure your email address and phone number are active so our recruitment team can reach you for interview scheduling.
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